A mistral event is considered to be the most dangerous of all Mediterranean winds. Its effects can generate high waves, which consequently can affect shipping.

In this study the continuous wavelet is used to detect the dispersion and groupings characteristics of waves during a mistral event. During the process of wind–wave interaction, waves are dispersed into groups with respect to their periods and wave growth is taking place within the wave group. The wavelet power spectrum of the time series of a wind wave shows that the energy at different scales varies considerably with time. Furthermore, the narrowing of the frequencies in the phase of wavelet transforms suggests the dispersion of waves.